Joint Application of NMR and Scattering Haydyn Mertens PhD Methods - - PowerPoint PPT Presentation
Joint Application of NMR and Scattering Haydyn Mertens PhD Methods - - PowerPoint PPT Presentation
Joint Application of NMR and Scattering Haydyn Mertens PhD Methods combining SAXS with NMR Filtering/scoring NMR conformers Direct refinement of structure Refinement of domain/subunit positions Restraints: SAXS & NMR Orientation
Filtering/scoring NMR conformers Direct refinement of structure Refinement of domain/subunit positions
Methods combining SAXS with NMR
Restraints: SAXS & NMR
Shapes/envelopes Dimensions (Rg, Dmax) Orientation Interface RDC s PCS NOEs Chemical Shifts PRE
Restraints: SAXS & NMR
Distances: NOEs Chemical Shifts PRE Orientation: RDCs PCS SAXS provides shape/distance info
Model Filtering
Model filtering by SAXS
Structures determined X-ray crystallography NMR Homology modeling Docking algorithms Score these models using SAXS data best fit to SAXS curves cluster models
Model filtering by SAXS
pyDockSAXS FTDock pyDock SAXS (CRYSOL)
~ 40% improvement in selection of correct solution
Pons et al., J Mol Biol. 2010 Oct 22;403(2):217-30
Docking Steps: pyDockSAXS
FTDock (http://www.sbg.bio.ic.ac.uk/docking/ftdock.html) generates large pool of complexes Surface complementarity Electrostatics filter pyDOCK (http://www.cllgenome.es/servlet/pydock/) scores/ranks FTDock complexes Binding energy electrostatics desolvation vdw CRYSOL (http://www.embl-hamburg.de/biosaxs/atsas-online/) scores/ranks complexes (fit to SAXS)
Docking Performance: pyDockSAXS
Identification of near native solutions Combined pyDOCK + CRYSOL is best!
Pons et al., J Mol Biol. 2010 Oct 22;403(2):217-30
43% 29% 21% 23%
Rank (top N predictions for each benchmark member)
Docking Performance: pyDockSAXS
Anisometry has an impact on selection Spherical complexes hard to select by SAXS
Pons et al., J Mol Biol. 2010 Oct 22;403(2):217-30
Model filtering by SAXS
pyDockSAXS combined scoring function: pyDockSAXS = EpyDOCK + wcXCRYSOL
Pons et al., J Mol Biol. 2010 Oct 22;403(2):217-30
SAXS can aid in the selection of near-native docking models
Building a model with RDCs & SAXS
Building a model with RDCs & SAXS Basic idea: Use known domain structures Orient domains with RDCs Reduce possible solutions with SAXS domain-distance (Rg) scoring/filtering
Example: Calmodulin
Calmodulin (CaM) Ca2+ binding protein (4 EF-hand motifs) Binds multiple targets (multiple functions) Structure is flexible Solved in both extended & compact forms
Extended form Compact form +ligand
- ligand
Example: Calmodulin-TFP (trifluoperazine)
Mattinen et al., Biophys J. (2002) 83:1177-1183
CaM compacts upon TFP binding decreased Dmax observed by SAXS Quaternary structure built from RDCs, domain structures and SAXS
+TFP
SAXS: Rg = 2.0 nm -> Rg = 1.8 nm
Building CaM-TFP model
Mattinen et al., Biophys J. (2002) 83:1177-1183
RDCs determine PAS (Azz, Axx, Ayy) DNH from single alignment medium Orientations using free CaM domain structures
Building CaM-TFP model
Mattinen et al., Biophys J. (2002) 83:1177-1183
4 degenerate relative orientations SAXS constrains distance between domains (Rg) Reduced to a single solution
SAXS 1LIN Solutions scored using CRYSOL
SASREF can do this too!
(in principle)
Using RDCs in SASREF
Collect RDCs Define domain orientations PALES (http://www.mpibpc.mpg.de/groups/zweckstetter/_links/software_pales.htm) Xplor-NIH python tools (http://nmr.cit.nih.gov/xplor-nih/) Use pre-oriented PDBs as input rigid bodies Allow only translations in SASREF
Direct Refinement
Requires accurate and fast calculation of scattering intensity from structure What people currently use: Spherical harmonics (CRYSOL) Zernike potentials (SASTBX) Debye (Xplor-NIH, MODELLER)
Direct Refinement
Debye:
Quick reminder: intensity calc
Form factors Distances
Need to evaluate all distances Computationally expensive
scales quadratically with number of atoms
Improve speed: globbic approximation group atoms (eg. GASBOR)
Quick reminder: intensity calc
Multipole expansion (spherical harmonics) Very fast Computation time is linear with size
Quick reminder: intensity calc
Direct refinement with NMR & SAXS slow back-calculation of I(s) globbic approx can help reduce number of points bin experimental data less points for calc I(s) Excluded volume treatment Hydration layer treatment
Quick reminder: intensity calc
Xplor-NIH
(direct refinement)
- E. coli Enzyme-I : HPr complex
Active sugar-phosphate transfer in bacteria Phosporylation of E1 and transfer to HPr Significant differences in crystal and NMR structures
Xplor-NIH example:
Schwieters et al., JACS (2010) 132:13026-13045
E1 crystallographic dimers NMR Crystal
Strategy: backbone n-h RDCs show E1nter subdomain
- rientations unchanged (free vs complex)
thus assuming E1cter dimerisation domain structure unchanged from E1 crystal structures:
- rientation E1 dimer from E1nter RDCs
Combine with SAXS/WAXS data Determine free E1 Introduce HPr and determine E1:HPr
Xplor-NIH example:
Schwieters et al., JACS (2010) 132:13026-13045
Backbone n-h RDCs show E1nter subdomain
- rientations unchanged (free vs complex)
Xplor-NIH example:
Schwieters et al., JACS (2010) 132:13026-13045
Xplor-NIH: protocol
E1 dimer E1-HPr dimer
Schwieters et al., JACS (2010) 132:13026-13045
Comparison to existing structures:
Schwieters et al., JACS (2010) 132:13026-13045
Xplor-NIH example:
Schwieters et al., JACS (2010) 132:13026-13045
Using SANS to discriminate between 2 possible E1-HPr clusters?
2H-E1/1H-HPr in 40% D2O (see E1 only)
Cluster-1 Cluster-2
Model Mechanism: E1-HPr
X-ray crystal NMR/SAXS
Schwieters et al., JACS (2010) 132:13026-13045 (phosphorylated intermediate) Free E1 Relaxation to I through intermediate Relaxation to V through intermediate
CNS
(direct refinement)
Direct refinement (RDCs & SAXS) Power series expansion of SAXS curve (FAST) Rg region ---> inter-domain distance Higher angles ---> domain positions Grid-search to account for solvation
CNS: xafs.f module
Gabel et al., JBNMR (2008) 41:199-208
CNS example
Gabel et al., JBNMR (2008) 41:199-208
SAXS + RDCs reduces possible orientations reduces inter-domain translations
DADIMODO
(search algorithm)
Genetic algorithm based Optimise multi-domain structures Adjusts regions of non-defined structure Start from crystal/nmr structure or homology model Objective function (SAXS & RDCs)
DADIMODO
DADIMODO
Mareuil et al., Eur biophys J (2007) 37:95-104
DADIMODO example
gamma-S crystallin
vertebrate eye lens component
Target Domain Models Conformers (25)
Mareuil et al., Eur biophys J (2007) 37:95-104
DADIMODO example
gamma-S crystallin
Mareuil et al., Eur biophys J (2007) 37:95-104